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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18456048 |
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| _version_ | 1866901370720747520 |
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| author | Losada, Juan Manuel |
| author_facet | Losada, Juan Manuel |
| contents | <p>barberpole_data.npz containes the results of velocity estimation methods (2DCA, 2DCC, with contouring, maxtracking and three-point time-delay estimation) on synthetic data generated by the blobmodel python package. </p> <p>plot_barberpole_data_from_file.py is a simple Python file that reads the barberpole_data.npz results and makes a plot similar to the one of our manuscript.</p> <p>synthetic_blob_2dca.nc xarray dataset containing the underlying synthetic data of Fig. 3 in our manuscript.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18456048 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Results of 2DCA methods on synthetic data Losada, Juan Manuel <p>barberpole_data.npz containes the results of velocity estimation methods (2DCA, 2DCC, with contouring, maxtracking and three-point time-delay estimation) on synthetic data generated by the blobmodel python package. </p> <p>plot_barberpole_data_from_file.py is a simple Python file that reads the barberpole_data.npz results and makes a plot similar to the one of our manuscript.</p> <p>synthetic_blob_2dca.nc xarray dataset containing the underlying synthetic data of Fig. 3 in our manuscript.</p> <p> </p> |
| title | Results of 2DCA methods on synthetic data |
| url | https://doi.org/10.5281/zenodo.18456048 |